Grade: L2-1
Location: Hyderabad
About the job
Our Hubs are a crucial part of how we innovate, improving performance across every Sanofi department and providing a springboard for the amazing work we do. Build a career and you can be part of transforming our business while helping to change millions of lives. Ready? As a Biomarker Computational Scientist within our Statistics Team at Hyderabad, you will play a crucial role in developing and implementing machine learning and deep learning algorithms to solve complex problems and support our clinical biomarker data insights generation. You will work closely with cross-functional teams to ensure data is accessible, reliable, and optimized for analysis. Your expertise in machine learning and deep learning will be essential in driving our data initiatives forward.
We are an innovative global healthcare company with one purpose: to chase the miracles of science to improve people’s lives. We’re also a company where you can flourish and grow your career, with countless opportunities to explore, make connections with people, and stretch the limits of what you thought was possible. Ready to get started?
Main responsibilities:
- Develop and implement machine learning / deep learning models to solve complex problems in drug discovery, clinical trials, and personalized medicine.
- Collaborate with cross-functional teams, including biostatisticians, bioinformaticians, and clinical researchers, to understand business requirements and translate them into data-driven solutions.
- Design and conduct experiments to evaluate model performance and iterate on model improvements.
- Analyze large biomedical datasets to extract meaningful insights and identify trends.
- Deploy and maintain machine learning / deep learning models in production environments, ensuring compliance with regulatory standards.
- Stay up to date with the latest advancements in deep learning, AI technologies, and pharmaceutical research.
- Communicate findings and recommendations to stakeholders through reports, presentations, and visualizations.
About you
- Experience:
- 2+ years (Master) or 1+ years (PhD) of pharmaceutical or related industry experience
- Familiar with Git operations for project development
- Experience on computer vision projects using neural network models
- Soft and technical skills:
- Proven experience in developing and deploying deep learning models using frameworks such as TensorFlow, PyTorch, or Keras.
- Strong programming skills in Python and experience with data manipulation libraries (e.g., Pandas, NumPy).
- Proficiency in working with large biomedical datasets and distributed computing tools (e.g., Hadoop, Spark).
- Solid understanding of machine learning algorithms, statistical methods, and their applications in the pharmaceutical industry.
- Excellent problem-solving skills and the ability to work independently and as part of a team.
- Strong communication skills and the ability to convey complex technical concepts to non-technical stakeholders.
- General knowledge for different type of biomarkers and molecular biology.
- Education: Master’s or Ph.D. in Computer Science, Data Science, Bioinformatics, Statistics, or a related field.
- Languages: Excellent communication in English, both oral and written